Large Language Models Meet NLP: A Survey O网页链接这篇论文的摘要指出,尽管大型语言模型(如ChatGPT)在自然语言处理(NLP)任务中表现出了惊人的能力,但系统地研究它们在这一领域潜力的研究还相对较少。本研究旨在填补这一空白,探讨以下问题:(1)大型语言模型目前在NLP任务中是如何应用的?(2)传统NLP任务是否已经...
Large language models (LLMs) such as the GPT se-ries [Brown et al., 2020, OpenAI, 2023] and the LLama se-ries [Touvron et al., 2023], along with other models like Gemini [Google, 2023], have achieved remarkable suc-cess in natural language processing, demonstrating supe-rior performan...
The “Tunability” column suggests whether these models can be fine-tuned for specific tasks. In other words, it is possible to take a large, pre-trained language model and adjust its parameters and training on a smaller, domain-specific dataset to make it perform better on a particular task...
Large language models (LLMs), such as OpenAI’s GPT-4, Google’s Bard or Meta’s LLaMa, have created unprecedented opportunities for analysing and generating language data on a massive scale. Because language data have a central role in all areas of psychology, this new technology has the ...
Large language models (LLMs) represent a major advance in artificial intelligence (AI) research. However, the widespread use of LLMs is also coupled with significant ethical and social challenges. Previous research has pointed towards auditing as a promising governance mechanism to help ensure that ...
ChatLaw: Open-Source Legal Large Language Model with Integrated External Knowledge Bases Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions ...
Through in-depth understanding of the latest advancements and practical applications, this survey provides valuable resources for researchers, paving the way for sustained progress in this field. 展开 关键词: Knowledge Distillation Large Language Models Evaluation ...
Recent large language models (LLMs), such as ChatGPT, have demonstrated remarkable prediction performance for a growing array of tasks. However, their proliferation into high-stakes domains and compute-limited settings has created a burgeoning need for i
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Large language models utilize deep learning algorithms to recognize, interpret, and generate human-sounding language. A large language model utilizes massive datasets, often featuring 100 million or more parameters, in order to solve common language problems. ...